Update app.py

app.py

@@ -4,34 +4,26 @@ import torch
 import requests
 from PIL import Image
 from io import BytesIO
-# Import necessary libraries
 from transformers import pipeline
 import torch
 
-# Load the BART model for summarization using Hugging Face's pipeline
 summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
 
-# Prediction function
 def summarize_text(input_text):
-    # Check if the input text is empty
+
     if not input_text.strip():
         return {"Error": "Please input some text"}
-    
-    # Use the summarizer to generate the summary
+
     summary = summarizer(input_text, max_length=150, min_length=50, do_sample=False)
-    
-    return summary[0]['summary_text']
 
-# Gradio interface
+    return summary[0]['summary_text']
 demo = gr.Interface(
     fn=summarize_text, 
     inputs=gr.Textbox(label="Enter Text to Summarize", lines=5),
     outputs=gr.Label(label="Summary"), 
-    title="Text Summarizer using BART",
+    title="Text Summarization",
     description="This app uses the `facebook/bart-large-cnn` model to summarize the text you input.",
     allow_flagging="never"
 )
 
-# Launch the interface
-demo.launch()
-
+demo.launch()